diff --git a/spacy/pipeline/spancat_exclusive.py b/spacy/pipeline/spancat_exclusive.py
index b5af27265..d170c65fa 100644
--- a/spacy/pipeline/spancat_exclusive.py
+++ b/spacy/pipeline/spancat_exclusive.py
@@ -268,7 +268,7 @@ class SpanCategorizerExclusive(TrainablePipe):
 
         DOCS: https://spacy.io/api/spancategorizerexclusive#set_annotations
         """
-        allow_overlap = self.cfg["allow_overlap"]
+        allow_overlap = cast(bool, self.cfg["allow_overlap"])
         labels = self.labels
         indices, scores = indices_scores
         offset = 0
@@ -278,9 +278,9 @@ class SpanCategorizerExclusive(TrainablePipe):
                 doc,
                 indices_i,
                 scores[offset : offset + indices.lengths[i]],
-                labels,
+                labels,  # type: ignore[arg-type]
                 allow_overlap,
-            )  # type: ignore[arg-type]
+            )
             offset += indices.lengths[i]
 
     def update(
@@ -367,9 +367,9 @@ class SpanCategorizerExclusive(TrainablePipe):
             offset += spans.lengths[i]
         target = self.model.ops.asarray(target, dtype="f")  # type: ignore
         negative_samples = numpy.nonzero(negative_spans)[0]
-        target[negative_samples, self._negative_label] = 1.0
+        target[negative_samples, self._negative_label] = 1.0  # type: ignore
         d_scores = scores - target
-        neg_weight = self.cfg["negative_weight"]
+        neg_weight = cast(float, self.cfg["negative_weight"])
         d_scores[negative_samples] *= neg_weight
         loss = float((d_scores**2).sum())
         return loss, d_scores